Vitali Ilykhkun

A full-stack automated Forex trading platform built around MetaTrader 5, featuring algorithmic trading workflows, risk management controls, execution pipelines, and a real-time operations dashboard.

Overview

Designed for automated trading operations, this platform provides a complete trading lifecycle from market data ingestion and strategy signals to risk validation, trade execution, and performance monitoring.
The system supports simulation, demo trading, and live-readiness workflows while maintaining a strong focus on reliability, observability, and secure operations.

Core Capabilities

• MetaTrader 5 integration with mock and live market data support
• Automated trading bot execution pipeline
• Pluggable strategy architecture:
  • Signal generation
  • Risk evaluation
  • Trade execution
• Real-time trade and bot event tracking
• PostgreSQL-based persistence layer
• REST and WebSocket APIs for live communication
• Operations dashboard for monitoring and manual controls

Features

Automated Trading Engine

• Event-driven trading workflow
• Modular strategy integration
• Supports simulation, demo, and live-ready execution modes
• Tracks bot states, signals, executions, and outcomes

Risk Management System

Built-in controls to protect trading operations:

• Stop-loss enforcement
• Drawdown monitoring and automatic trading halt
• Risk-based execution validation
• Configurable trading limits

Backtesting & Replay

• Historical strategy evaluation
• Market replay capabilities
• Performance analysis tools
• Trading metrics visualization

Operations Dashboard

Real-time monitoring interface providing:

• Live bot status
• Trade history
• Execution events
• Performance metrics
• Backtest results
• Manual operational controls

Technical Stack

Backend

• Node.js
• PostgreSQL
• MetaTrader 5 integration

Frontend

• Next.js 15
• React 19
• TypeScript
• Recharts

Infrastructure & DevOps

• Docker Compose
• GitHub Actions CI

Impact

This platform automates the operational side of Forex trading by combining algorithmic execution, risk management, and real-time monitoring.
Strategy performance and live market validation remain the key factors in determining trading outcomes.

Overview

Built a full-stack AI-powered career assessment platform that helps
users discover suitable career paths through a personalized
questionnaire. The platform analyzes user interests, evaluates thousands
of job roles, verifies email ownership, and delivers tailored job
recommendations with AI-generated explanations.

What I delivered

• Complete end-to-end user journey:
  • Career assessment questionnaire
  • Email verification workflow
  • Personalized job recommendation results
• Intelligent job recommendation engine supporting 3,000+ job
  roles
  • Deterministic ranking system combined with AI-generated insights
  • Sector-aware recommendations to ensure diversity across career
    fields
  • Configurable scoring rules, thresholds, and ranking logic
  • Top recommended jobs with sector categories and clear match
    explanations
• AI-powered explanation layer
  • Generated personalized reasoning behind each recommendation
  • Integrated LLM providers including OpenAI and Gemini for
    natural-language career insights
• Marketing automation integration
  • Integrated Systeme.io API for lead capture
  • Automated contact creation, tagging, and email workflows
• Admin management platform
  • Manage questionnaire content and assessment logic
  • Import and maintain large job catalogs (CSV → structured JSON)
  • Configure ranking rules and sector preferences
  • Review user responses and recommendation data
• Secure and scalable backend architecture
  • Multi-tenant ready design
  • Secure admin authentication and role-based access patterns
  • API-driven architecture designed for future expansion

Tech Stack

Frontend

• Next.js
• React
• TypeScript

Backend

• FastAPI (Python)
• REST APIs
• Secure authentication workflows

AI & Integrations

• Google Gemini API
• Systeme.io API

Data & Infrastructure

• PostgreSQL
• Structured job catalog management
• CSV/JSON data processing pipelines
• CI/CD

Outcome

Delivered a production-ready beta platform capable of handling a growing
career database of 3,000+ job roles while maintaining fast
recommendations, consistent ranking logic, and personalized AI-generated
career guidance.

The system provides a strong foundation for scaling into a larger career
discovery platform with additional AI capabilities, analytics, and
personalized learning or career planning features.

A full-stack AI-powered project and task management platform designed to streamline collaboration between Clients, Managers, Developers, and Testers. The platform provides role-based workflows, project tracking, team coordination, and intelligent AI assistance throughout the software delivery lifecycle.

Overview

Built as an end-to-end monorepo application, this platform enables clients to create and manage projects, invite development teams, track daily progress, review feedback, and monitor delivery through a structured workflow.

The system supports multiple user roles with tailored permissions:

• Clients — create projects, manage members, assign tasks, and monitor progress
• Managers — oversee users, roles, projects, and system-wide activity
• Developers — manage assigned tasks, submit progress updates, and respond to feedback
• Testers — validate work, provide feedback, and track testing activities

Core Features

• JWT-based role authentication and authorization
• Client registration and email-based invitations for Developers and Testers
• Project creation and member management
• Structured task workflow:
  • Todo
  • In Progress
  • Report
  • Completed
• Drag-and-drop Kanban task management
• Task progress dialogs and status tracking
• Feedback management with attachments
• Daily grouped task activity logs
• Email notifications and background job processing
• Manager administration dashboard
• Audit logging and soft-delete support

AI-Powered Capabilities

Integrated LLM-backed assistant features to improve productivity and communication:

• Smart Task Drafting

  • Generate clear task titles
  • Create detailed descriptions
  • Generate acceptance criteria from short prompts

• Priority & Effort Recommendations

  • Suggest task priority
  • Estimate effort based on task content and project history

• Status & Assignment Assistance

  • Recommend next workflow status
  • Suggest suitable assignees based on workload, role, and context

• Daily Standup Summaries

  • Automatically summarize:
    • Todo tasks
    • In Progress work
    • Report updates
    • Completed tasks

• Feedback Rewrite

  • Convert rough notes into clear, actionable feedback for Developers and Testers

Technical Stack

Frontend

• Next.js (App Router)
• TypeScript
• Tailwind CSS
• React Query
• dnd-kit

Backend

• NestJS
• Prisma ORM
• PostgreSQL

AI Layer

• LLM-backed assist endpoints
• Structured prompt-to-output generation
• AI-generated task, feedback, and summary workflows

Impact

This platform combines project management workflows with AI automation to reduce manual planning, improve communication quality, and help teams deliver software projects more efficiently